Files
inventory-plus-plus/AGENTS.md
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angelandClaude Sonnet 5 308f16f6cc docs: add platform market research and weighted integration priority ranking
Research to inform which mock platform (Amazon, Shopify, etc.) is worth
turning into a real integration next, after Etsy. Adds GMV/seller-count
market-size data for every platform in domains/accounts/platform.go, a
weighted scoring model (GMV 45%, API/inventory-webhook completeness 30%,
growth 15%, integration cost 10%), and the resulting ranked order.

Also fills in Etsy's own row, sourced directly from
domains/platforms/etsy/generated_client rather than external docs since
it's the one platform actually live in this repo: Etsy Open API v3 has no
webhook/push mechanism at all, and only the OAuth connection flow is
built so far - polling-based order/inventory sync doesn't exist yet. Etsy
is included as a reference score (3.85/10) against the same rubric used
for the unbuilt platforms, mainly as a sanity check on the model rather
than a claim that building it first was wrong.

Flags that the existing capability table's BigCommerce row doesn't match
an actual platform in this codebase (Tiktok does, and is now researched
instead), and that Tiktok Shop's API details are unconfirmed pending a
dedicated research pass.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-20 16:23:47 -06:00

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Markdown

# AGENTS.md
Go backend for a multi-platform ecommerce inventory-sync tool. Etsy is the
one real, live platform integration; everything else (Amazon, BigCartel,
Ebay, Ecwid, Shopify, SquareOnline, Squarespace, Tiktok, WalmartMarketplace,
Wix, WooCommerce, Zoho) exists only as a **mock simulation layer** used for
development, demos, and testing the sync/reporting logic without needing
real store credentials. See `README.md` for the product-level roadmap.
## Platform integration priority
When picking the next mock platform to turn into a real integration (after
Etsy), use this weighted ranking of the 12 not-yet-live mock platforms. It
scores each on GMV/market opportunity (45%), API/inventory-sync completeness
(30%), growth trajectory (15%), and integration cost (10%) - see
`STORE_API_RESEARCH.md`'s "Weighted priority ranking" section for the full
scoring table, per-criterion reasoning, and the market-size/API research
it's built on.
1. **Shopify** (9.15/10) - cleanest/most complete API (webhooks for both
order and inventory events, modern GraphQL), still-strong GMV growth
(+29-35% YoY), and a proven self-serve distribution channel (the Shopify
App Store, where inventory-sync apps are an established category) that
no other platform here has an equivalent of.
2. **Amazon** (8.85/10) - largest raw dollar opportunity (~$575B in 2025
third-party GMV), and inventory-sync pain (suppressed listings, FBA
stranded-inventory fees) is one of the sharpest problems this tool could
solve there. `domains/amazon` already has the most real infrastructure
of any mock platform (the `ProcessEvents` LISTEN/NOTIFY loop, SSE
wiring), so a real SP-API integration reuses that instead of starting
from zero. Scores lower than Shopify mainly because SP-API auth (LWA +
AWS SigV4) and rate limiting are the most complex of any platform here,
and seller growth has gone flat.
3. **Tiktok Shop** (7.15/10) - hypergrowth (global GMV nearly doubled in
2025, projected to double again in 2026) is what earns it this spot, but
its API details are the least confirmed of anything researched -
`partner.tiktokshop.com` didn't yield readable docs during this pass.
Needs a dedicated research pass to confirm exact webhook/endpoint names
before treating this ranking as actionable.
4. **Walmart Marketplace** (6.35/10) - smaller in absolute GMV than the top
three, but growing ~50% YoY and a natural second-marketplace target for
sellers already on Amazon; full order+inventory webhook coverage.
5. **Wix** (6.35/10) - tied with Walmart on score but behind it on the
growth tiebreaker; full inventory-webhook coverage and an easy API, just
a smaller/less certain GMV number.
6. **WooCommerce** (5.95/10) - large store count (~4-6M) but no
platform-wide GMV figure exists (self-hosted plugin, no central ledger),
and no dedicated inventory webhook (relies on a `product.updated` proxy).
7. **Square Online** (5.90/10) - full inventory-webhook coverage and
well-documented APIs (shared with the rest of Square's product line),
but its ecommerce-specific GMV can't be isolated from Square's much
larger in-person POS business.
8. **Ebay** (5.75/10) - most sellers of any platform here (18.3M) but the
lowest GMV-per-seller by far, plus no dedicated inventory-change webhook.
9. **Squarespace** (4.75/10) - smaller GMV, no inventory webhook.
10. **Zoho** (3.85/10) - tiny confirmed store count (~2,196 globally).
11. **Ecwid** (3.20/10) - shrinking (-20% YoY store count).
12. **Big Cartel** (1.50/10) - last, and not close: no inventory API or
webhook at all is a structural dealbreaker for this tool's core use
case, independent of its (also declining, -41% YoY) market size.
(BigCommerce, which appears in the API-capability table in
`STORE_API_RESEARCH.md`, is excluded here - it isn't one of this codebase's
actual mock platforms; that table predates the platform list settling on
Tiktok instead.)
Etsy isn't in the ranking above (it's already built), but scores 3.85/10 as
a reference point if run through the same rubric - mid-pack-and-declining
GMV, and the *only* platform researched with zero webhook/push support of
any kind (order or inventory - confirmed directly against
`domains/platforms/etsy/generated_client`, not external docs). That's not a
retroactive case against having built Etsy - it was presumably chosen for
reasons this rubric doesn't score (an existing relationship, an easier path
to developer credentials) - but it's a reminder that the lack of any
webhook system makes real order/inventory sync a polling loop, which is
exactly the kind of integration cost this rubric undercounts once a
platform is more than superficially wired up. Note also that the OAuth
connection flow is the only part of Etsy that's actually built so far
(`domains/platforms/etsy/etsy.go`) - polling-based receipt/inventory sync
against the live API doesn't exist yet.
## Setup
1. Postgres running locally, with an `app_client` role/database matching
`.env.example`'s `DATABASE_URL`.
2. `cp .env.example .env` and fill in real values (Auth0, Etsy). For local
dev-only work you don't need real Auth0/Etsy secrets if `DEV_AUTH_ENABLED`
is `true` (see Auth below) - `changeme` placeholders are fine.
3. Create the dedicated test database once: `createdb -O app_client
inventory_2_test`. `make test` migrates it automatically after that.
## Commands
- `make dev` (default: bare `make`) - applies pending migrations, starts the
Tailwind watcher in the background, runs the server in the foreground.
Ctrl-C stops both.
- `make run` - just `go run .`, no migrations or CSS.
- `make test` - runs the full test suite against the dedicated
`inventory_2_test` database (migrates it first). Safe to run anytime;
never touches real data.
- `make test-against-dev-db` - same suite, pointed at the real dev database
instead. Useful for checking behavior against real data; tests clean up
after themselves via `t.Cleanup`, but it's still touching your dev DB.
- `make migrate-up` / `migrate-down` / `migrate-version` - wrap the
`migrate` CLI using `DATABASE_URL` from `.env`, so the DSN is never
hand-typed. `migrate-test-*` variants target `TEST_DATABASE_URL`.
- `go build ./...`, `go vet ./...`, `gofmt -l .` - standard, expected clean
before considering work done.
- `go test ./... -race` - the test suite is safe to run this way (see
Testing below for what made that true).
## Architecture
- `domains/` - business logic, one package per bounded concern
(`accounts`, `authentication`, `raw_events`, `reports`, `amazon`,
`platforms/etsy`). Each domain owns its own DB access; there's no shared
ORM/repository layer. Looking to loosely follow CQRS: writes go through
domain `Store` methods, reads are mostly separate query methods on the
same `Store`.
- `domains/accounts/mocks.go` - the mock-platform simulation layer:
`CreateMockShop`, `CreateMockListing`, `SaveNewMockSale` /
`SaveNewMockRefund` / `SaveNewMockInventoryReset`, etc. These are the
*real* entry points production code (and the simulate-sale/refund/
inventory UI) uses - prefer them over hand-rolled SQL when writing tests
or new features that need mock shop/listing/event data.
- `domains/amazon/mock.go` - the one platform with a live *background
processor* on top of the mock layer: a Postgres `LISTEN`/`NOTIFY`-driven
loop (`(*Mocks).ProcessEvents`) that reacts to newly inserted mock events
and dispatches them to a `MockEventListener` (wired to Server-Sent Events
in `main.go`, so the UI updates live). No other platform has this yet;
if adding one, read this file's history/comments first - it went through
several correctness passes (reconnect-on-failure, ack-based retry,
configurable poll fallback) worth not re-discovering from scratch.
- `server/` - HTTP layer (Gin). `server/api` is the JSON/HTMX API,
`server/ui` renders HTML pages, `server/auth` is session/auth middleware,
`server/sse` is the Server-Sent Events plumbing.
- `config/config.go` - all runtime configuration comes from environment
variables (loaded from `.env` via `godotenv`), never hardcoded. If you
add a new required external dependency (a new secret, a new service
URL), add it here, not as a literal in the code that uses it.
- `internal/testdb` - shared test fixtures: `Pool(t)` (connects via
`TEST_DATABASE_URL`, skips the test if unset), `Logger()`, `NewUserID(t)`,
`SeedOAuthUser`/`SeedOAuthSession`.
## Database & migrations
- Migrations live in `database_migrations/`, run via `golang-migrate`
(`migrate` CLI). Every migration needs a paired `.up.sql`/`.down.sql`.
- **Migration files can drift from the live schema, and drift can mean
"unrunnable," not just "stale docs."** This has happened at least twice:
an interval-literal syntax error that failed on any fresh database, and a
column that existed in the live dev DB but not in what the migration
files would produce (fixed by adding a migration that reconciles the two,
then `migrate force <version>` on the DB that already matched by hand).
When something about the schema seems off, verify against the *live* DB
(`psql \d`, `pg_get_viewdef(...)`) before trusting the migration files,
and *especially* before assuming a fresh database would come up the same
way the long-running dev one does.
- The mock-platform schema (`mock.*`) follows a consistent per-platform
pattern: `mock.shop_<platform>`, `mock.shop_<platform>_listings`, and for
Amazon specifically `mock.shop_<platform>_events` (the background
processor's queue). Some platforms also have a recursive
`mock.shop_<platform>_listing_counts` view (built on
`mock.shop_<platform>_listing_event_sequence`) that computes a running
inventory count from `mock.raw_shop_events` - it's real per-platform
logic living in SQL, not a passthrough, and worth reading with
`pg_get_viewdef(..., true)` rather than assuming it matches another
platform's shape.
- **Platform-string casing is inconsistent and matters.** Most
`accounts.Platform` constants are lowercase/snake_case (`"amazon"`,
`"big_cartel"`, ...) matching what SQL triggers/views expect, but
`Etsy`/`Tiktok`/`Wix` are capitalized Go-side (`"Etsy"`, not `"etsy"`).
Some SQL objects for those platforms expect the capitalized form (e.g.
the Etsy listing-counts view filters on `'Etsy'`), others expect
lowercase (e.g. the Etsy `raw_shop_events` trigger checks `'etsy'`).
Don't assume; check the actual SQL (`pg_get_viewdef`, trigger
definitions) for the specific object you're relying on before writing a
fixture or a query.
- The `mock_shop_<platform>_event_inserted` `NOTIFY` channels are global,
not scoped by shop/account. Any insert into `raw_shop_events` for that
platform notifies *every* currently-listening connection for that
platform, regardless of which test or code path caused it. See Testing
below for how this bit two test packages at once.
## Testing
- Tests are real integration tests against a real Postgres database
(`internal/testdb.Pool(t)`), not mocks/stubs of the DB layer - this
codebase is mostly thin `Store` methods wrapping SQL, so testing the Go
code in isolation would miss most of the actual risk.
- Assertions use `github.com/stretchr/testify`'s `assert`/`require`
throughout - `require` for anything the rest of the test depends on
(halts immediately), `assert` for independent checks. Use
`require.Eventually` for "poll until true or timeout" patterns instead of
hand-rolling one.
- **`require.Eventually`'s condition function runs on a separate
goroutine.** Never call `require.*`/`t.Fatal*` (which invoke
`t.FailNow()`) from inside one - Go's testing package requires `FailNow`
to only be called from the test's own goroutine; calling it from a
spawned one doesn't panic cleanly, it just silently reports the wrong
thing. If a helper used inside an `Eventually` closure needs to check an
error, give it a `*testing.T`-free variant that returns `(value, error)`
and let the closure decide what "not yet satisfied" means.
- Every test cleans up its own rows via `t.Cleanup`, in FK-safe order
(children before parents). Use unique, randomly-generated IDs
(`testdb.NewUserID(t)`, `uuid.NewString()`) so tests are safe to run
concurrently with themselves and with real dev data under
`test-against-dev-db`.
- **Pick a mock platform deliberately when writing new fixtures that touch
`mock.raw_shop_events`.** `domains/amazon`'s tests process *every*
unprocessed event system-wide (that's correct behavior for its
background worker, not a bug) and react to the global Amazon NOTIFY
channel - any other package's tests that insert Amazon-platform mock
events risk being picked up by `domains/amazon`'s tests when `go test
./...` runs both packages' binaries concurrently (Go's default).
`domains/reports`, for example, deliberately uses Etsy as its example
platform for exactly this reason. If you're not testing
`domains/amazon` itself, don't use Amazon as your fixture platform.
- Never disable/re-enable a shared DB trigger to simulate a "notify never
fires" scenario in a test, even temporarily - it's unsafe to do against
a database anything else might be using concurrently (including a real
`make dev` session someone has running). If you need to prove a
timing/fallback path works, find a way to construct the scenario through
normal writes instead (see `domains/amazon/mock_test.go`'s poll-fallback
test for an example: it reuses the retry mechanism to guarantee a second
dispatch can only come from the poll timer, without touching any
trigger).
- Killing a real Postgres backend connection (`pg_terminate_backend`,
found via `pg_stat_activity`) is a legitimate, safe way to test
reconnect/failure-recovery logic when properly scoped - see
`domains/amazon/mock_test.go`'s `terminateListenConnection`. Be aware its
PID lookup matches on query text globally, not "this test's connection
specifically" - check for other live processes (e.g. a running `make
dev`) before running a test like this against a shared database.
## Auth
- Real auth is Auth0-backed OIDC (`domains/authentication`). For local
dev, set `DEV_AUTH_ENABLED=true` and hit `GET
/api/auth/dev-login?user_id=whoever` to mint a real session (writes
directly to `oauth_users`/`oauth_tokens`, same shape a real login
produces) without any Auth0 round-trip. Different `user_id` values let
you test multiple identities/accounts side by side. Never enable this
outside local development.
## Commit conventions
- Commit messages: imperative mood subject line, no period, body explains
*why* (what problem existed, what the fix changes) rather than
re-describing the diff. One logical change per commit - e.g. a bugfix
found while doing unrelated work gets its own commit, not folded into
the original task's.
- Work summaries: see `work-summaries/` for dated records of past
sessions' changes and reasoning - useful context before touching an area
someone else (human or agent) recently worked on.